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Deep Reinforcement Learning of Marked Temporal Point Processes
Utkarsh Upadhyay, Abir De, Manuel Gomez Rodriguez
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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State Regularized Policy Optimization on Data with Dynamics Shift
Neural Information Processing Systems
We then demonstrate a lower-bound performance guarantee on policies regularized by the stationary state distribution. In practice, SRPO can be an add-on module to context-based algorithms in both online and offline RL settings.
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